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ICRA 2023

1655 papers · 0 AI summaries · 2023

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1651 result(s) for “and Learning for Soft Robots” Page 6 of 34
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A Sequential MPC Approach to Reactive Planning for Bipedal Robots Using Safe Corridors in Highly Cluttered Environments
Kunal Sanjay Narkhede, Abhijeet Mangesh Kulkarni, Dhruv Ashwinkumar Thanki, Ioannis Poulakakis
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DisCo: A Multiagent 3D Coordinate System for Lattice Based Modular Self-Reconfigurable Robots
Benoit Piranda, Frédéric Lassabe, Julien Bourgeois
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Intuitive Telemanipulation of Hyper-Redundant Snake Robots within Locomotion and Reorientation using Task-Priority Inverse Kinematics
Tim-Lukas Habich, Melvin Hueter, Moritz Schappler, Svenja Spindeldreier
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Controlling Collision-Induced Aggregations in a Swarm of Micro Bristle-Robots
Zhijian Hao, Siddharth Mayya, Gennaro Notomista, Seth Hutchinson, Magnus Egerstedt, Azadeh Ansari
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Enhanced Balance for Legged Robots Using Reaction Wheels
Chi-Yen Lee, Shuo Yang, Bokser Benjamin, Zachary Manchester
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Robust Locomotion on Legged Robots through Planning on Motion Primitive Graphs
Wyatt Ubellacker, Aaron Ames
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Statics and Dynamics of Continuum Robots Based on Cosserat Rods and Optimal Control Theories
Frédéric Boyer, Vincent Lebastard, Fabien Candelier, Federico Renda, Mazen Alamir
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Uncertainty-Guided Active Reinforcement Learning with Bayesian Neural Networks
Xinyang Wu, Mohamed El-Shamouty, Christof Nitsche, Marco F. Huber
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3D-DAT: 3D-Dataset Annotation Toolkit for Robotic Vision
Markus Suchi, Bernhard Neuberger, Amanzhol Salykov, Jean-Baptiste Weibel, Timothy Patten, Markus Vincze
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Bidirectional Generalised Rigid Point Set Registration
Ang Zhang, Zhe Min, Li Liu, Max Q.-H. Meng
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ViTAL: Vision-Based Terrain-Aware Locomotion for Legged Robots
Shamel Fahmi, Victor Barasuol, Domingo Esteban, Octavio Antonio Villarreal Magaña, Claudio Semini
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Guided Reinforcement Learning � A Review and Evaluation for Efficient and Effective Real-World Robotics
Julian Eßer, Nicolas Bach, Christian Jestel, Oliver Urbann, Sören Kerner
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Learning Stable Dynamics Via Iterative Quadratic Programming
Paul Gesel, Momotaz Begum
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The Human Gaze Helps Robots Run Bravely and Efficiently in Crowds
Qianyi Zhang, Zhengxi Hu, Yinuo Song, Jiayi Pei, Jingtai Liu
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Flipper-Style Locomotion through Strong Expanding Modular Robots
Lillian Chin, Max Burns, Gregory Xie, Daniela Rus
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Sample-Driven Connectivity Learning for Motion Planning
Sihui Li, Neil Dantam
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Lighthouses and Global Graph Stabilization: Active SLAM for Low-Compute, Narrow-FoV Robots
Mohit Deshpande, Richard Kim, Dhruva Kumar, Jong Jin Park, James Zamiska
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SEIL: Simulation-augmented Equivariant Imitation Learning
Mingxi Jia, Dian Wang, Guanang Su, David Klee, Xupeng Zhu, Robin Walters, Robert Platt
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MMDF: Multi-Modal Deep Feature Based Place Recognition of Mobile Robots with Applications on Cross-Scene Navigation
Xiang Yu, Bo Zhou, Zeqing Chang, Kun Qian, fang fang
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Reinforcement Learning for Laser Welding Speed Control Minimizing Bead Width Error
Toshimitsu Kaneko, Gaku Minamoto, Yusuke Hirose, Tetsuo Sakai
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Real World Offline Reinforcement Learning with Realistic Data Source
Gaoyue Zhou, Liyiming Ke, Siddhartha Srinivasa, Abhinav Gupta, Aravind Rajeswaran, Vikash Kumar
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Guiding Reinforcement Learning with Shared Control Templates
Abhishek Padalkar, Gabriel Quere, Franz Steinmetz, Antonin Raffin, Matthias Nieuwenhuisen, João Silvério, Freek Stulp
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An Equivalent Two Section Method for Calculating the Workspace of Multi-Segment Continuum Robots
Yeman Fan, Dikai Liu
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Learning Augmented, Multi-Robot Long-Horizon Navigation in Partially Mapped Environments
Abhish Khanal, Gregory Stein
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FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments
Jishnu Jaykumar P, Yu-Wei Chao, Yu Xiang
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Finding Optimal Modular Robots for Aerial Tasks
Jiawei Xu, David Saldaña
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Dexterous Imitation Made Easy: A Learning-Based Framework for Efficient Dexterous Manipulation
Sridhar Pandian Arunachalam, Sneha Silwal, Ben Evans, Lerrel Pinto
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Portable Multi-Hypothesis Monte Carlo Localization for Mobile Robots
Alberto García, Francisco Martin Rico, Jose Miguel Guerrero, Francisco Javier Rodríguez Lera, Vicente Matellan
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Agile and Versatile Robot Locomotion Via Kernel-Based Residual Learning
Milo Carroll, Zhaocheng Liu, Mohammadreza Kasaei, Zhibin Li
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Learning to Forecast Aleatoric and Epistemic Uncertainties Over Long Horizon Trajectories
Aastha Acharya, Rebecca Russell, Nisar Ahmed
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Carrying the Uncarriable: A Deformation-Agnostic and Human-Cooperative Framework for Unwieldy Objects Using Multiple Robots
Doganay Sirintuna, Idil Ozdamar, Arash Ajoudani
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Minimizing Human Assistance: Augmenting a Single Demonstration for Deep Reinforcement Learning
Abraham George, Alison Bartsch, Amir Barati Farimani
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RAMP: Reaction-Aware Motion Planning of Multi-Legged Robots for Locomotion in Microgravity
Warley Francisco Rocha Ribeiro, Kentaro Uno, Masazumi Imai, Koki Murase, Kazuya Yoshida
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Robust Co-Design of Robots Via Cascaded Optimisation
Akhil Sathuluri, Anand Vazhapilli Sureshbabu, Markus Zimmermann
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External Force Estimation of Legged Robots Via a Factor Graph Framework with a Disturbance Observer
Jeonguk Kang, Hyun-Bin Kim, Keun Ha Choi, Kyung-Soo Kim
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Generating a Terrain-Robustness Benchmark for Legged Locomotion: A Prototype Via Terrain Authoring and Active Learning
Chong Zhang, Lizhi Yang
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A Geometrically-Exact Assumed Strain Modes Approach for the Geometrico and Kinemato-Static Modellings of Continuum Parallel Robots
Briot, Sébastien,Boyer, Frédéric
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Increasing Admittance of Industrial Robots By Velocity Feedback Inner-Loop Shaping
Kangwagye Samuel, Kevin Haninger, Sehoon Oh
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Meta-Reinforcement Learning Via Language Instructions
Zhenshan Bing, Alexander Koch, Xiangtong Yao, Kai Huang, Alois Knoll
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A Trajectory Planner for Mobile Robots Steering Non-Holonomic Wheelchairs in Dynamic Environments
Martin Asghar Schulze, Friedrich Graaf, Lea Steffen, Arne Roennau, Rüdiger Dillmann
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Biomimetic Force and Impedance Adaptation Based on Broad Learning System in Stable and Unstable Tasks
Zhenyu Lu, Ning Wang
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Seq2Seq Imitation Learning for Tactile Feedback-Based Manipulation
Wenyan Yang, Alexandre Angleraud, Roel S. Pieters, Joni Pajarinen, Joni-Kristian Kamarainen
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Benchmarking Potential Based Rewards for Learning Humanoid Locomotion
Se Hwan Jeon, Steve Heim, Charles Khazoom, Sangbae Kim
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Pose-Graph SLAM Using Multi-Order Ultrasonic Echoes and Beamforming for Long-Range Inspection Robots
Othmane-Latif Ouabi, Neil Zeghidour, Nico F. Declercq, Matthieu Geist, Cedric Pradalier
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Using Memory-Based Learning to Solve Tasks with State-Action Constraints
Mrinal Verghese, Christopher Atkeson
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Comparison of Model-Based and Model-Free Reinforcement Learning for Real-World Dexterous Robotic Manipulation Tasks
David Patricio Valencia Redrovan, John Jia, Raymond Li, Alex Hayashi, Megan Lecchi, Reuel Terezakis, Trevor Gee, Minas Liarokapis, Bruce MacDonald, Henry Williams
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SoLo T-DIRL: Socially-Aware Dynamic Local Planner Based on Trajectory-Ranked Deep Inverse Reinforcement Learning
Yifan Xu, Theodor Chakhachiro, Tribhi Kathuria, Maani Ghaffari
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Learning Continuous Control Policies for Information-Theoretic Active Perception
Pengzhi Yang, YUHAN LIU, Shumon Koga, Arash Asgharivaskasi, Nikolay Atanasov
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Demonstration-Bootstrapped Autonomous Practicing Via Multi-Task Reinforcement Learning
Abhishek Gupta, Corey Lynch, Brandon Kinman, Garrett Peake, Sergey Levine, Karol Hausman
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Visuo-Tactile Recognition of Partial Point Clouds Using PointNet and Curriculum Learning
Christopher Parsons, Alessandro Albini, Daniele De Martini, Perla Maiolino
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